EPIRK-W and EPIRK-K Time Discretization Methods M Narayanamurthi, P Tranquilli, A Sandu, M Tokman Journal of Scientific Computing 78, 167-201, 2019 | 26 | 2019 |
Dates: A highly-extensible data assimilation testing suite A Attia, A Sandu arXiv preprint arXiv:1704.05594, 2017 | 7 | 2017 |
Partitioned exponential methods for coupled multiphysics systems M Narayanamurthi, A Sandu Applied Numerical Mathematics 161, 178-207, 2021 | 6 | 2021 |
Solving parameter estimation problems with discrete adjoint exponential integrators U Römer, M Narayanamurthi, A Sandu Optimization Methods and Software, 1-21, 2018 | 6 | 2018 |
Linearly implicit multistep methods for time integration SR Glandon, M Narayanamurthi, A Sandu SIAM Journal on Scientific Computing 44 (6), A3437-A3462, 2022 | 5 | 2022 |
Efficient implementation of partitioned stiff exponential Runge-Kutta methods M Narayanamurthi, A Sandu Applied Numerical Mathematics 152, 141-158, 2020 | 5 | 2020 |
EPIRK-K time discretization methods M Narayanamurthi, P Tranquilli, A Sandu, MEW Tokman J. Sci. Comput 78, 167-201, 2019 | 4 | 2019 |
Goal-oriented a posteriori estimation of numerical errors in the solution of multiphysics systems M Narayanamurthi, U Römer, A Sandu arXiv preprint arXiv:2001.08824, 2020 | 1 | 2020 |
Efficient implementation of partitioned stiff exponential runge-kutta methods M Narayanamurthi, A Sandu arXiv preprint arXiv:1912.01044, 2019 | 1 | 2019 |
Advanced Time Integration Methods with Applications to Simulation, Inverse Problems, and Uncertainty Quantification M Narayanamurthi Virginia Tech, 2020 | | 2020 |
AD-Suite-A Test Suite for Algorithmic Differentiation M Narayanamurthi, T Bosse, S Narayanan, P Hovland Argonne National Lab.(ANL), Argonne, IL (United States), 2016 | | 2016 |